JOURNAL ARTICLE

Arduino Based traffic congestion control with automatic signal clearance for emergency vehicles and Stolen Vehicle Detection

Abstract

In order to overcome the vital issues of vehicle congestion and time consumption in traffic signals, a new method using IR Sensor technology is proposed. It can serve as a best solution to the manually operated traffic signal. The object detection sensor deployed at the traffic signal path measures the density of the vehicle in the road. Depending on the density it provides the automatic signal timing accordingly. This makes the existing system still easier. Due to long queues in traffic signal it is not comfortable to pass an ambulance immediately. We have proposed a system which removes this problem using RF Transmitter and Receiver. The particular path signal will change to blue along with green signal, indicating the ambulance arrival. Thus it reduces time & saves the lives of many people due to existing traffic system limitations. Also stolen vehicle can be easily detected with the help of RFID.

Keywords:
SIGNAL (programming language) Computer science Real-time computing Emergency vehicle Arduino Transmitter Queue Path (computing) Traffic congestion Radio transmitter design Floating car data Traffic signal Embedded system Computer network Engineering Transport engineering

Metrics

30
Cited By
2.80
FWCI (Field Weighted Citation Impact)
7
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and GPS-based Vehicle Safety Systems
Physical Sciences →  Engineering →  Mechanical Engineering
Vehicular Ad Hoc Networks (VANETs)
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Parking Systems Research
Physical Sciences →  Engineering →  Building and Construction
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